Abstract: Current numerical methods for solving kinematic identification (KI) and inverse kinematics (IK) are limited in accuracy, convergence rates, and robustness, necessitating further enhancement.
Edited by Mark Estelle, University of California at San Diego, La Jolla, CA; received December 6, 2024; accepted September 25, 2025 The above model assumptions are represented by a system of ordinary ...
Through cellular, developmental, and physiological analysis, this valuable study identifies a gene that regulates the relative growth of roots and shoots under salt stress. The holistic approach taken ...
1 Department of Engineering, United Tribes Technical College, Bismarck, North Dakota, USA. 2 Department of Environmental Science, United Tribes Technical College, Bismarck, North Dakota, USA. Making ...
A central goal of biology is to understand how genetic variation produces phenotypic variation, which has been described as a genotype to phenotype (G to P) map. The plant form is continuously shaped ...
MPSpack is a user-friendly and fully object-oriented MATLAB toolbox that implements the method of particular solutions (aka Trefftz or nonpolynomial FEM, including the method of fundamental solutions, ...
Abstract: This paper presents a new islanding detection strategy for low-voltage inverter-interfaced microgrids based on adaptive neuro-fuzzy inference system (ANFIS). The proposed islanding detection ...
This study aimed to evaluate the accuracy of back propagation (BP) artificial neural network model for predicting postoperative pain following root canal treatment (RCT). The BP neural network model ...
Directed cortical responses to intracranial electrical stimulation are a good standard for mapping inter-regional direct connectivity. Cortico-cortical evoked potential (CCEP), elicited by single ...
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